Michael Gotlieb

554 total citations
17 papers, 389 citations indexed

About

Michael Gotlieb is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Gotlieb has authored 17 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Gotlieb's work include Digital Radiography and Breast Imaging (6 papers), MRI in cancer diagnosis (5 papers) and AI in cancer detection (5 papers). Michael Gotlieb is often cited by papers focused on Digital Radiography and Breast Imaging (6 papers), MRI in cancer diagnosis (5 papers) and AI in cancer detection (5 papers). Michael Gotlieb collaborates with scholars based in Israel, Netherlands and United States. Michael Gotlieb's co-authors include Miri Sklair‐Levy, Anat Shalmon, Yael Yagil, Vera Sorin, Ady Yosepovich, Noam Nissan, David Samoocha, Eitan Friedman, Eyal Klang and Robert J. Awe and has published in prestigious journals such as The American Journal of Medicine, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Michael Gotlieb

17 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Gotlieb Israel	11	220	203	105	83	82	17	389
Renee Morgan United Kingdom	12	234 1.1×	184 0.9×	134 1.3×	88 1.1×	101 1.2×	25	403
Hildegard Toth United States	6	158 0.7×	117 0.6×	169 1.6×	103 1.2×	113 1.4×	6	397
Simona Tosto Italy	9	185 0.8×	129 0.6×	118 1.1×	67 0.8×	88 1.1×	21	378
Andrea Arieno United Kingdom	14	270 1.2×	219 1.1×	158 1.5×	100 1.2×	109 1.3×	28	476
Valentina Iotti Italy	11	180 0.8×	178 0.9×	114 1.1×	87 1.0×	57 0.7×	16	362
Samantha P. Zuckerman United States	8	296 1.3×	219 1.1×	127 1.2×	45 0.5×	63 0.8×	25	443
Ermanno Vanzi Italy	13	119 0.5×	141 0.7×	73 0.7×	213 2.6×	165 2.0×	31	442
Heather Greenwood United States	14	87 0.4×	310 1.5×	62 0.6×	148 1.8×	210 2.6×	36	486
Gábor Forrai Hungary	10	74 0.3×	213 1.0×	60 0.6×	93 1.1×	90 1.1×	17	383
Mathijn de Jong Netherlands	5	82 0.4×	99 0.5×	57 0.5×	40 0.5×	52 0.6×	7	229

Countries citing papers authored by Michael Gotlieb

Since Specialization

Citations

This map shows the geographic impact of Michael Gotlieb's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Gotlieb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gotlieb more than expected).

Fields of papers citing papers by Michael Gotlieb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Gotlieb. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Gotlieb. The network helps show where Michael Gotlieb may publish in the future.

Co-authorship network of co-authors of Michael Gotlieb

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gotlieb. A scholar is included among the top collaborators of Michael Gotlieb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Gotlieb. Michael Gotlieb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Nissan, Noam, Arsalan Abu‐Much, David Samoocha, et al.. (2023). Pacemaker in patients undergoing mammography: A limitation for breast cancer diagnosis?. Journal of Medical Imaging and Radiation Oncology. 67(6). 587–594. 3 indexed citations

Friedman, Eitan, Orit Kaidar‐Person, Anat Shalmon, et al.. (2022). Ductal Carcinoma In Situ (DCIS) Diagnosed by MRI-Guided Biopsy among BRCA1/BRCA2 Mutation Carriers. The Breast Journal. 2022. 1–7. 3 indexed citations

Nissan, Noam, Anat Shalmon, Michael Gotlieb, et al.. (2022). MRI can accurately diagnose breast cancer during lactation. European Radiology. 33(4). 2935–2944. 12 indexed citations

Friedman, Eitan, Orit Kaidar‐Person, Anat Shalmon, et al.. (2022). Pregnancy Associated Breast Cancer Among Israeli BRCA1/BRCA2 Carriers in a High-Risk Clinic. Academic Radiology. 30(2). 248–254. 4 indexed citations

Nissan, Noam, Vera Sorin, David Samoocha, et al.. (2021). MRI of the Lactating Breast: Computer-Aided Diagnosis False Positive Rates and Background Parenchymal Enhancement Kinetic Features. Academic Radiology. 29(9). 1332–1341. 8 indexed citations

Nissan, Noam, Anat Shalmon, Michael Gotlieb, et al.. (2021). COVID-19 Vaccination Induced Lymphadenopathy in a Specialized Breast Imaging Clinic in Israel: Analysis of 163 cases. Academic Radiology. 28(9). 1191–1197. 32 indexed citations

Nissan, Noam, Yael Yagil, Anat Shalmon, et al.. (2021). Post‐mastectomy surveillance of BRCA1 / BRCA 2 mutation carriers: Outcomes from a specialized clinic for high‐risk breast cancer patients. The Breast Journal. 27(5). 441–447. 4 indexed citations

Sorin, Vera, Yael Yagil, Anat Shalmon, et al.. (2020). Contrast-enhanced spectral mammography (CESM) in women presenting with palpable breast findings. Clinical Imaging. 61. 99–105. 14 indexed citations

Nissan, Noam, Tanir M. Allweis, Tehillah S. Menes, et al.. (2019). Breast MRI during lactation: effects on tumor conspicuity using dynamic contrast-enhanced (DCE) in comparison with diffusion tensor imaging (DTI) parametric maps. European Radiology. 30(2). 767–777. 27 indexed citations

10.

Sorin, Vera, et al.. (2019). Background Parenchymal Enhancement at Contrast-Enhanced Spectral Mammography (CESM) as a Breast Cancer Risk Factor. Academic Radiology. 27(9). 1234–1240. 41 indexed citations

11.

Klang, Eyal, Michal Amitai, Vera Sorin, et al.. (2018). Utility of routine use of breast ultrasound following contrast-enhanced spectral mammography. Clinical Radiology. 73(10). 908.e11–908.e16. 20 indexed citations

12.

Sorin, Vera, Yael Yagil, Ady Yosepovich, et al.. (2018). Contrast-Enhanced Spectral Mammography in Women With Intermediate Breast Cancer Risk and Dense Breasts. American Journal of Roentgenology. 211(5). W267–W274. 132 indexed citations

13.

Nissan, Noam, Edna Furman‐Haran, Tanir M. Allweis, et al.. (2018). Noncontrast Breast MRI During Pregnancy Using Diffusion Tensor Imaging: A Feasibility Study. Journal of Magnetic Resonance Imaging. 49(2). 508–517. 24 indexed citations

14.

Laitman, Yael, Dana Feldman, Miri Sklair‐Levy, et al.. (2017). Abnormal Findings Detected by Multi-modality Breast Imaging and Biopsy Results in a High-risk Clinic. Clinical Breast Cancer. 18(4). e695–e698. 3 indexed citations

15.

Klang, Eyal, Ady Yosepovich, Shelly Soffer, et al.. (2017). Detection of Pathologically Proven Silicone Lymphadenopathy: Ultrasonography Versus Magnetic Resonance Imaging. Journal of Ultrasound in Medicine. 37(4). 969–975. 18 indexed citations

16.

Yagil, Yael, et al.. (2016). Challenges in contrast-enhanced spectral mammography interpretation: artefacts lexicon. Clinical Radiology. 71(5). 450–457. 29 indexed citations

17.

Peters, Jay I., et al.. (1987). Lung bullae with air-fluid levels. The American Journal of Medicine. 82(4). 759–763. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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